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CWD: A Machine Learning based Approach to Detect Unknown Cloud Workloads
To address this problem of realizing the full potential of the underlying platform, we develop a machine learning based technique to characterize, profile and predict workloads running in the cloud environment.
Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms
In this paper, we treat the problem of tuning parameters of DL frameworks to improve training and inference performance as a black-box optimization problem.
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